Bronchiectasis, a progressive chronic airway disease, is characterized by microbial colonization and infection. We present an approach to the multi-biome that integrates bacterial, viral and fungal communities in bronchiectasis through weighted similarity network fusion (https://integrative-microbiomics.ntu.edu.sg). Patients at greatest risk of exacerbation have less complex microbial co-occurrence networks, reduced diversity and a higher degree of antagonistic interactions in their airway microbiome. Furthermore, longitudinal interactome dynamics reveals microbial antagonism during exacerbation, which resolves following treatment in an otherwise stable multi-biome. Assessment of the Pseudomonas interactome shows that interaction networks, rather than abundance alone, are associated with exacerbation risk, and that incorporation of microbial interaction data improves clinical prediction models. Shotgun metagenomic sequencing of an independent cohort validated the multi-biome interactions detected in targeted analysis and confirmed the association with exacerbation. Integrative microbiomics captures microbial interactions to determine exacerbation risk, which cannot be appreciated by the study of a single microbial group. Antibiotic strategies probably target the interaction networks rather than individual microbes, providing a fresh approach to the understanding of respiratory infection.

Integrative microbiomics in bronchiectasis exacerbations / M. Mac Aogáin, J.K. Narayana, P.Y. Tiew, N.A.B.M. Ali, V.F.L. Yong, T.K. Jaggi, A.Y.H. Lim, H.R. Keir, A.J. Dicker, K.X. Thng, A. Tsang, F.X. Ivan, M.E. Poh, M. Oriano, S. Aliberti, F. Blasi, T.B. Low, T.H. Ong, B. Oliver, Y.H. Giam, A. Tee, M.S. Koh, J.A. Abisheganaden, K. Tsaneva-Atanasova, J.D. Chalmers, S.H. Chotirmall. - In: NATURE MEDICINE. - ISSN 1078-8956. - 27:4(2021), pp. 1-32. [10.1038/s41591-021-01289-7]

Integrative microbiomics in bronchiectasis exacerbations

M. Oriano;S. Aliberti;F. Blasi;
2021

Abstract

Bronchiectasis, a progressive chronic airway disease, is characterized by microbial colonization and infection. We present an approach to the multi-biome that integrates bacterial, viral and fungal communities in bronchiectasis through weighted similarity network fusion (https://integrative-microbiomics.ntu.edu.sg). Patients at greatest risk of exacerbation have less complex microbial co-occurrence networks, reduced diversity and a higher degree of antagonistic interactions in their airway microbiome. Furthermore, longitudinal interactome dynamics reveals microbial antagonism during exacerbation, which resolves following treatment in an otherwise stable multi-biome. Assessment of the Pseudomonas interactome shows that interaction networks, rather than abundance alone, are associated with exacerbation risk, and that incorporation of microbial interaction data improves clinical prediction models. Shotgun metagenomic sequencing of an independent cohort validated the multi-biome interactions detected in targeted analysis and confirmed the association with exacerbation. Integrative microbiomics captures microbial interactions to determine exacerbation risk, which cannot be appreciated by the study of a single microbial group. Antibiotic strategies probably target the interaction networks rather than individual microbes, providing a fresh approach to the understanding of respiratory infection.
Settore MED/10 - Malattie dell'Apparato Respiratorio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/831374
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